68 search results - page 12 / 14 » Learning Latent Tree Graphical Models |
GREC
2003
Springer
15 years 3 months ago
2003
Springer
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
100
click to vote
ICIG
2009
IEEE
14 years 7 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
106
click to vote
FCSC
2010
14 years 7 months ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...
CVPR
2007
IEEE
15 years 12 months ago
2007
IEEE
This paper presents a method of learning and recognizing generic object categories using part-based spatial models. The models are multiscale, with a scene component that specifie...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
We present a class of richly structured, undirected hidden variable models suitable for simultaneously modeling text along with other attributes encoded in different modalities. O...